Cerebral glucose metabolism on positron emission tomography of children

Shan, Zuyao Y., Leiker, Andrew J., Onar-Thomas, Arzu, Li, Yimei, Feng, Tianshu, Reddick, Wilburn E., Reutens, David C. and Shulkin, Barry L. (2014) Cerebral glucose metabolism on positron emission tomography of children. Human Brain Mapping, 35 5: 2297-2309. doi:10.1002/hbm.22328

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Author Shan, Zuyao Y.
Leiker, Andrew J.
Onar-Thomas, Arzu
Li, Yimei
Feng, Tianshu
Reddick, Wilburn E.
Reutens, David C.
Shulkin, Barry L.
Title Cerebral glucose metabolism on positron emission tomography of children
Journal name Human Brain Mapping   Check publisher's open access policy
ISSN 1065-9471
Publication date 2014-05
Year available 2013
Sub-type Article (original research)
DOI 10.1002/hbm.22328
Open Access Status File (Author Post-print)
Volume 35
Issue 5
Start page 2297
End page 2309
Total pages 13
Place of publication Hoboken, NJ United States
Publisher John Wiley and Sons
Collection year 2014
Language eng
Formatted abstract
Establishing the normative range of age-dependent fluorodeoxyglucose (FDG) uptake in the developing brain is necessary for understanding regional quantitative analysis of positron emission tomography (PET) brain images in children and also to provide functional information on brain development. We analyzed head sections of FDG PET/computed tomography (CT) images for 115 patients (5 months to 23 years) without central nervous system disease before treatment, as PET studies are not performed on healthy children owing to ethical considerations and the risk of radiation exposure. We investigated the changes in FDG uptake and established age-associated normative ranges of cerebral FDG. Head sections of FDG PET/CT images were registered to a population-based probabilistic atlas of human cortical structures. Gray matter of 56 brain structures was defined on normalized PET images according to the atlas. To avoid individual and experimental confounding factors, the relative standardized uptake value (SUV) over the cerebellum of each structure was calculated. Relative SUVs were analyzed by ANOVA and modeled using generalized estimating equalization analysis with false discovery rate control. Age and structure were significant factors affecting SUVs. Anatomic proximity had little effect on FDG uptake. Linear and quadratic developmental trajectories were observed on absolute and relative SUVs, respectively. An increase from posterior-to-anterior and superior-to-inferior pattern was observed in both absolute SUV increase rate and relative SUV peak age. The SUV of each structure was modeled with respect to age, and these models can serve as baselines for the quantitative analysis of cerebral FDG-PET images of children
Keyword Brain imaging
Child development
Glucose metabolism
Q-Index Code C1
Q-Index Status Confirmed Code
Institutional Status UQ
Additional Notes Published online 29 July 2013

Document type: Journal Article
Sub-type: Article (original research)
Collections: Official 2014 Collection
Centre for Advanced Imaging Publications
UQ Diamantina Institute Publications
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Citation counts: TR Web of Science Citation Count  Cited 4 times in Thomson Reuters Web of Science Article | Citations
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Created: Thu, 15 Aug 2013, 14:26:49 EST by Sandrine Ducrot on behalf of Centre for Advanced Imaging